文章基本信息

标题：A Novel Technique for Model Reduction of Biochemical Reaction Networks
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作者：Manvel Gasparyan ; Arnout Van Messem ; Shodhan Rao 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：19
页码：28-31
DOI：10.1016/j.ifacol.2018.09.024
语种：English
出版社：Elsevier
摘要：AbstractWe illustrate a new technique for the model reduction of biochemical reaction networks governed by any kind of enzyme kinetics. Previously Rao et al. proposed a model reduction method for biochemical reaction networks governed by various reversible and irreversible enzyme kinetics. We extend the ideas of Rao et al. and show how the number of variables in the mathematical model of the chemical reaction network can be reduced by using the initial data from the network. Moreover, the outgoing reaction fluxes in the forward direction of the reduced reaction network remain unchanged compared to the original one. We then apply our new technique for model reduction to an example, for which the method proposed by Rao et al. encountered serious limitations.
关键词：KeywordsChemical reaction networksEnzyme kineticsGraph theoryModel reductionLinkage classesStoichiometryKron reduction method